Santeramo, Fabio Gaetano (2014): On the Estimation of Supply and Demand Elasticities of Agricultural Commodites.

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Abstract
The report provides a literature review on the topic of estimation of demand and supply elasticities. To this end, it starts the discussion by summarizing the main facets of production theory and consumer theory to introduce the concept of elasticities, with examples of different types of elasticities most utilized in the literature. Next, it discusses the identification problem in estimating elasticities, i.e. the issue of having to solve for unique values of the parameters of the structural model from the values of the parameters of the reduced form of the model. It summarizes various methodologies employed in the literature to solve this problem and gives practical examples. These solutions include, but are not limited to, using instrumental variables, adopting a recursive structure, holding demand constant, and imposing inequality constraints in order to restrict the domain of estimates.
Item Type:  MPRA Paper 

Original Title:  On the Estimation of Supply and Demand Elasticities of Agricultural Commodites 
Language:  English 
Keywords:  Elasticity, demand, supply, identification, production theory, consumer theory 
Subjects:  C  Mathematical and Quantitative Methods > C1  Econometric and Statistical Methods and Methodology: General D  Microeconomics > D1  Household Behavior and Family Economics > D12  Consumer Economics: Empirical Analysis D  Microeconomics > D2  Production and Organizations > D22  Firm Behavior: Empirical Analysis Q  Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1  Agriculture > Q12  Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets 
Item ID:  56126 
Depositing User:  Fabio Gaetano Santeramo 
Date Deposited:  22 May 2014 13:27 
Last Modified:  26 Sep 2019 17:21 
References:  Anderson, T. W., Rubin, H. (1949). Estimation of the parameters of a single equation in a complete system of stochastic equations. Annals of mathematical statistics, 20(1) Angrist, J. D., Krueger, A. B. (2001). Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments. The Journal of Economic Perspectives, 15(4), 6985. Askari, H., and Cummings, J. T. (1977). ”Estimating Agricultural Supply Response with the Nerlove Model: A Survey” International Economic Review, Vol. 18(2), pp. 257292. Barten, A. P. (1969). Maximum likelihood estimation of a complete system of demand equations. European Economic Review, 1(1), 773. Berkowitz, D., Caner, M., Fang Y. (2012). The validity of instruments revisited. Journal of Econometrics 166, pp. 255266. Binswanger, H. P. (1974) “A Cost Function Approach to the Measurement of Elasticities of Factor Demand and Elasticities of Substitution.” American Journal of Agricultural Economics 56: 377386. Cassels, J. M. (1933) “The Nature of Statistical Curves.” Journal of Farm Economics 15: 378387. Chambers, R. G. (1988) “Applied Production Analysis: A Dual Approach.” New York: Cambridge University Press. Christiansen L.R., Jorgensen D.W, Lau L.J. (1971), “Conjugate duality and the transcendental logarithmic production function”, in Econometrica, vol. 39 Christiansen L.R., Jorgensen D.W, Lau L.J. (1973), “Transcendental logarithmic production frontier”, in Review of Economics and Statistics, vol. 55. Colman, D. (1983) “A Review of the Arts of Supply Response Analysis.” Review of Marketing and Agricultural Economics 51: 201230. Davidson, R., MacKinnon, J. G. (2004). ”Econometric theory and methods”. New York: Oxford University Press. Deaton, A. (1980) “Economics and consumer behaviour” Cambridge university press. Deaton, A. (1986) “Demand analysis” Handbook of Econometrics, in: Z. Griliches† and M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 3, chapter 30, pages 17671839 Elsevier. Deaton, A., Muellbauer, J. (1980). “An almost ideal demand system”. The American economic review, 70(3), 312326. Dhar, T., Chavas, J. P., Gould, B. W. (2003). An empirical assessment of endogeneity issues in demand analysis for differentiated products. American Journal of Agricultural Economics, 85(3), 605617. Diewert, W. E., and T. J. Wales (1987): “Flexible Functional Forms and Global Curvature Conditions.” Econometrica, 55(1), 4368. Fisher, B. (1982) “Rational Expectations in Agricultural Economics Research and Policy Analysis.” American Journal of Agricultural Economics 64: 260265. Fisher, F. M. (1976). “The identification problem in econometrics”. RE Krieger Publishing Company. Friedman (1962) “Price theory: a provisional text” London, Frank Cass and Company. Frisch, R. and Waugh, F.V. (1933) “Partial time regression as compared with individual trends” Econometrica 1, 221223. Koopmans, T. C. (1949). “Identification problems in economic model construction”. Econometrica (The Econometric Society) 17 (2): 125–144. Jarvis, L. S. (1974) “Cattle as Capital Goods and Ranchers as Portfolio Managers: An Application to the Argentine Cattle Sector.” The Journal of Political Economy 82: 489520. Just, R. E. (1993) “Discovering Production and Supply Relationships: Present Status and Future Opportunities.” Review of Marketing and Agricultural Economics 61: 1140. Key, N., R. N. Lubowski, and M. J. Roberts. (2005) “FarmLevel Production Effects from Participation in Government Commodity Programs: Did the 1996 Federal Agricultural Improvement and Reform Act Make a Difference?” American Journal of Agricultural Economics 87: 12111219. Kim, H. Y. (2005) “Aggregation Over Firms and Flexible Functional Forms.” The Economic Record, 81(252), 1929. Kmenta J. (1967), “On Estimation of CES Production Function”, in International Economic Review. Kmenta J. (1986), “ Elements of Econometrics”, Macmillan Pub. Co., New York. LaFrance, J. T., and R. D. Pope (2008) “Homogeneity and Supply.” American Journal Of Agricultural Economics, 90, 606612. LaFrance, J. T., and R. D. Pope (2010) “Duality Theory for Variable Costs in Joint Production.” American Journal of Agricultural Economics, 92(3), 755762. Leamer, E. E. (1981). “Is it a demand curve, or is it a supply curve? Partial identification through inequality constraints” The Review of Economics and Statistics, 63(3), 319327. Lutkepohl, H., Netsuunajev, A. (2013) Disentangling demand and supply shocks in the crude oil market: How to check sign restrictions in structural VARs. Journal of Applied Econometrics. Maddala, G. S. (1977). Econometrics. New York: McGrawHill Maddala, G. S. (1992). Introduction to Econometrics. New York: MacMillan Publishing Company Manski, C. F. (1995). Identification Problems in the Social Sciences. Cambridge, MA: Harvard University Press. Manski, C. F. (2003). Partial identification of probability distributions. Springer. Marshall, A. (1890). Principles of Political Economy. MasColell, A., Whinston, M. D., and Green, J. R. (1995). Microeconomic theory. New York: Oxford university press. Moschini, G., and D. Moro (1994) “Autocorrelation Specification In Singular Equation Systems.” Economics Letters, 46(4), 303309. Moschini, G. (1995). Units of measurement and the stone index in demand system estimation. American Journal of Agricultural Economics, 77(1), 6368. Moschini, G. (1998). The semiflexible almost ideal demand system. European Economic Review, 42(2), 349364. Mundlack, Y. (2001) Production and Supply. Vol. 1, chap. 1 in Handbook of Agricultural Economics, edited by B. L. Gardner and G. C. Rausser, 385. Amsterdam: Elsevier. Nerlove, M. (1956) Estimates of the elasticities of supply of selected agricultural commodities. Journal of Farm Economics 38(2), 496509. Nerlove, M., and D. A. Bessler. (2001) Expectations, Information, and Dynamics. Vol. 1, chap. 3 in Handbook of Agricultural Economics, edited by B. L. Gardner and G. C. Rausser. Amsterdam: Elsevier. O’Donnell, C. J. (2012) “Nonparametric Estimates of the Components of Productivity and Profitability Change in U.S. Agriculture.” American Journal Of Agricultural Economics, 94, 873890. Okumura, T. (2011). Nonparametric Estimation of Labor Supply and Demand Factors. Journal of Business & Economic Statistics, 29(1), 174185. Renuka, M., Kalirajan, K. P. (2002). How IncomeElastic Is The Consumers Demand For Services In Singapore?. International Economic Journal, 16(1), 95104. Rigobon, R. (2003), Identification through heteroskedasticity, The Review of Economics and Statistics. 85, 777792 Roberts M. J, Schlenker W. (2013). “Identifying Supply and Demand Elasticities of Agricultural Commodities: Implications for the US Ethanol Mandate,” American Economic Review, American Economic Association, vol. 103(6), pp. 226595 Rosen, S.,Murphy K. M., and Scheinkman J. A. (1994) “Cattle Cycles.” The Journal of Political Economy 102: 468492. Russo, C., Green, R., and Howitt, R. E. (2008) “Estimation of supply and demand elasticities of California commodities”. Available at SSRN 1151936. Ryan, D. L., and T. J. Wales (1998): “A Simple Method for Imposing Local Curvature in Some Flexible ConsumerDemand Systems,” Journal of Business and Economic Statistics, 16, 331338. Sargan, J. D. (1958). The estimation of economic relationships using instrumental variables. Econometrica: Journal of the Econometric Society, 393415. Schultz, T. W. (1956) “Reflections on Agricultural Production Output and Supply.” Journal of Farm Economics 38: 748762. Stone, R. (1954) “Linear expenditure systems and demand analysis: an application to the pattern of British demand.” The Economic Journal, 64(255): 511527. Theil, H. (1965). The information approach to demand analysis. Econometrica: Journal of the Econometric Society, 6787. Thurman, W. N., Wohlgenant, M. K. (1989). Consistent estimation of general equilibrium welfare effects. American Journal of Agricultural Economics, 71(4), 10411045. Timmer, C. P., Falcon, W. P., Pearson, S. R. (1983). Food policy Analysis. Baltimore: Johns Hopkins University Press. Varian, H. R. (1992) “Microeconomic analysis” New York: Norton. Wohlgenant, Michael K. (1984) “Conceptual and Functional Form Issues In Estimating Demand Elasticities for Food,” American Journal of Agricultural Economics, 66(2):21115 Wooldridge, J. M. (2002). “Econometric analysis of cross section and panel data”. The MIT press. Wright, P.G. (1928), The tariff on animal and vegetable oils, New York, Macmillan. Wright P.G. (1929) “Review of Schultz, ‘Statistical Laws of Demand and Supply” Journal of the American Statistical Association, vol. 24, pp. 207–15. 
URI:  https://mpra.ub.unimuenchen.de/id/eprint/56126 